This study evaluates the feasibility of direct scatter and attenuation correction of whole-body 68Ga-PSMA PET images in the image domain using deep learning
For PET/CT, the CT transmission data are used to correct the PET emission data for attenuation. Howe...
The lack of physically measured attenuation maps (μ-maps) for attenuation and scatter correction is ...
Objective We demonstrate the feasibility of direct generation of attenuation and scatter-corrected i...
OBJECTIVE: This study evaluates the feasibility of direct scatter and attenuation correction of whol...
Background: Attenuation correction (AC) of PET data is usually performed using a second imaging for ...
PurposeTo demonstrate the feasibility of CT-less attenuation and scatter correction (ASC) in the ima...
PET attenuation correction (AC) on systems lacking CT/transmission scanning, such as dedicated brain...
Despite the potential of deep learning (DL)-based methods in substituting CT-based PET attenuation a...
We demonstrate the feasibility of direct generation of attenuation and scatter-corrected images from...
Abstract Background To develop and evaluate the feasibility of a data-driven deep learning approach ...
International audienceThe correction of attenuation effects in Positron Emission Tomography (PET) im...
Objective We demonstrate the feasibility of direct generation of attenuation and scatter-corrected i...
Dedicated brain positron emission tomography (PET) devices can provide higher-resolution images with...
This study set out to investigate various deep learning frameworks for PET attenuation correction in...
Afin d’obtenir des images TEP quantitatives, essentielles au diagnostic et au suivi thérapeutique en...
For PET/CT, the CT transmission data are used to correct the PET emission data for attenuation. Howe...
The lack of physically measured attenuation maps (μ-maps) for attenuation and scatter correction is ...
Objective We demonstrate the feasibility of direct generation of attenuation and scatter-corrected i...
OBJECTIVE: This study evaluates the feasibility of direct scatter and attenuation correction of whol...
Background: Attenuation correction (AC) of PET data is usually performed using a second imaging for ...
PurposeTo demonstrate the feasibility of CT-less attenuation and scatter correction (ASC) in the ima...
PET attenuation correction (AC) on systems lacking CT/transmission scanning, such as dedicated brain...
Despite the potential of deep learning (DL)-based methods in substituting CT-based PET attenuation a...
We demonstrate the feasibility of direct generation of attenuation and scatter-corrected images from...
Abstract Background To develop and evaluate the feasibility of a data-driven deep learning approach ...
International audienceThe correction of attenuation effects in Positron Emission Tomography (PET) im...
Objective We demonstrate the feasibility of direct generation of attenuation and scatter-corrected i...
Dedicated brain positron emission tomography (PET) devices can provide higher-resolution images with...
This study set out to investigate various deep learning frameworks for PET attenuation correction in...
Afin d’obtenir des images TEP quantitatives, essentielles au diagnostic et au suivi thérapeutique en...
For PET/CT, the CT transmission data are used to correct the PET emission data for attenuation. Howe...
The lack of physically measured attenuation maps (μ-maps) for attenuation and scatter correction is ...
Objective We demonstrate the feasibility of direct generation of attenuation and scatter-corrected i...
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